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Solutions / Security
Find risky AI use. Contain the paths you control.
Tallin gives security teams one workflow for Shadow AI discovery, sanctioned access, and runtime controls. See activity from managed enterprise signals, identify the owner behind each governed workload, and disable Tallin-mediated access without claiming visibility into traffic you cannot observe.
Contained runtime path
Control the paths you carry without overstating the ones you do not.
When Tallin carries the request, security can evaluate the named actor, approved model scope, data-handling policy, and spend limit before the workload reaches a provider. Every allow, reroute, block, and freeze action remains auditable.
- Know which actor made the requestTie controlled traffic to an owner and stated purpose.
- Review the exact policy decisionSee why traffic was allowed, rerouted, or blocked.
- Contain one workloadFreeze a Tallin-mediated actor without disabling unrelated AI use.
Security workflows
Move from an exposure signal to a governed response.
The goal is not to block useful AI work. It is to give every actor an owner and a scope, control the highest-risk paths in the request path, and keep the evidence to prove it.
- Discover
- Use SSO, CASB, SSE, SIEM, expense, and provider telemetry to discover which humans, apps, and agents are reaching AI, sanctioned and unsanctioned alike.
- Attribute + cap
- Route AI through Tallin to attribute every request to an owner, cap runaway agent spend, and restrict which models each actor can reach.
- Kill switch
- Disable a misbehaving actor's Tallin-mediated model access, and use access restrictions, provider admin controls, and gateway routing where available.
- Simulate + prove
- Simulate a policy in shadow mode before you enforce it, and keep the audit evidence to prove it, without claiming Tallin sees every prompt or device.
Sources grouped by how buyers think.
no endpoint agents to installShadow AI discovery
Find every AI actor, agents included, through systems you already own.
Tallin reads managed identity, network, CASB, SSE, and log-warehouse metadata to show which humans, apps, and agents reached AI services from company-controlled paths. It does not need prompt text to identify that a managed user reached claude.ai, chatgpt.com, Perplexity, Runway, or another AI app. Gartner projects 150,000+ AI agents per Fortune 500 by 2028, yet only 13% of teams feel adequately governed. These agents spend and act unattended. Discovery is where you bring them into scope before they do.
Gateway trust
In-path control needs a clear line on what gets stored.
Tallin controls the AI traffic routed through it, applying per-actor policy and budget while the request is happening. Security teams can choose metadata-only gateway capture for sensitive developer or app traffic: the ledger still records who used what, when, how much, and which policy applied, while stored prompt content stays off. Direct provider calls made outside Tallin and tool or MCP execution side effects are reported as Not Covered, never silenced. For banks, hospitals, and other regulated teams, the gateway can run in your own VPC so content stays local.
Trust posture
Choose what Tallin stores.
Operational trail only
Provider, model, cost, timing, user, route, and policy result. No stored prompt or response body.
Deeper evidence
Content audit can support deeper review, bounded by capture limits and tenant encryption.
Put a control plane behind your AI policy.
Make every AI actor accountable to an owner, a spend budget, an approved model scope, and a kill switch, then hand the proof to your board, your auditor, and the DDQ.